Longtao Wu

92 total papers · 1.2k total citations
40 papers, 784 citations indexed

About

Longtao Wu is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Longtao Wu has authored 40 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Atmospheric Science, 31 papers in Global and Planetary Change and 5 papers in Oceanography. Recurrent topics in Longtao Wu's work include Climate variability and models (21 papers), Meteorological Phenomena and Simulations (16 papers) and Atmospheric aerosols and clouds (16 papers). Longtao Wu is often cited by papers focused on Climate variability and models (21 papers), Meteorological Phenomena and Simulations (16 papers) and Atmospheric aerosols and clouds (16 papers). Longtao Wu collaborates with scholars based in United States, China and Hong Kong. Longtao Wu's co-authors include Hui Su, Jonathan H. Jiang, Chengxing Zhai, Grant W. Petty, Brian H. Kahn, Robert G. Fovell, W. G. Read, K. Minschwaner, M. L. Santee and Frank Werner and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

Longtao Wu

37 papers receiving 774 citations

Hit Papers

The Hunga Tonga‐Hunga Ha'... 2022 2026 2023 2024 2022 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Longtao Wu 689 621 117 49 39 40 784
S. Sijikumar 795 1.2× 808 1.3× 161 1.4× 38 0.8× 36 0.9× 43 905
Florian Pantillon 609 0.9× 597 1.0× 124 1.1× 101 2.1× 59 1.5× 35 841
K. Mohanakumar 584 0.8× 547 0.9× 112 1.0× 159 3.2× 40 1.0× 58 739
Xianghui Fang 564 0.8× 651 1.0× 323 2.8× 24 0.5× 20 0.5× 47 778
Masuo Nakano 767 1.1× 695 1.1× 251 2.1× 28 0.6× 31 0.8× 53 875
Lin Chen 678 1.0× 776 1.2× 391 3.3× 24 0.5× 30 0.8× 57 898
Nicholas Davis 529 0.8× 613 1.0× 170 1.5× 46 0.9× 13 0.3× 28 713
Lena Iredell 769 1.1× 741 1.2× 84 0.7× 36 0.7× 102 2.6× 29 892
Taro Shinoda 498 0.7× 436 0.7× 120 1.0× 58 1.2× 65 1.7× 42 656
Rei Chemke 602 0.9× 635 1.0× 194 1.7× 75 1.5× 15 0.4× 42 799

Countries citing papers authored by Longtao Wu

Since Specialization
Citations

This map shows the geographic impact of Longtao Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Longtao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longtao Wu more than expected).

Fields of papers citing papers by Longtao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Longtao Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Longtao Wu. The network helps show where Longtao Wu may publish in the future.

Co-authorship network of co-authors of Longtao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Longtao Wu. A scholar is included among the top collaborators of Longtao Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Longtao Wu. Longtao Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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